Introduction to Python
There is a lot of debate in the industry and amongst data science professionals as to which is the best language for data science. The short answer is that no one language is good and your best bet is to learn R as well as Python. And adding SQL skills to it will significantly increase your chances to become a data scientist in demand. A good skillset to aim for is R + Python + SQL. And of course these skills will be complimented with the tools you use for the specific data science projects you are involved in.
At Finance Train, our objective is to help you with this skill set and combine it with the finance and quants knowledge you need become a financial data scientist.
This course provides an introduction to the python programming language for data science. Python is a general-purpose, versatile, and popular programming language. Python is also a great language for data analysis and has been consistently gaining popularity.
Python has several features that make it well suited for data science:
- It is open-source and free to use
- It is very simple to learn and code
- Python brings people with different backgrounds together
- Lots of useful data-science related libraries
Data Science in Finance: 9-Book Bundle
Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.
What's Included:
- Getting Started with R
- R Programming for Data Science
- Data Visualization with R
- Financial Time Series Analysis with R
- Quantitative Trading Strategies with R
- Derivatives with R
- Credit Risk Modelling With R
- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
Get the Bundle for $39 (Regular $57)Free Guides - Getting Started with R and Python
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